Executive Summary

Respondent Charateristics

Demographic Information

Gender

What is your gender identity?

Proportion N
Cis woman 49% 297
Cis man 43% 259
Gender non-binary or non-conforming 5% 33
Trans man 1% 5
Different gender identity, prefer to specify 1% 4
Trans woman 0% 2
Prefer not to answer 1% 8

Race / Ethnicity

What is your race / ethnicity? Please select all that apply.

Proportion N
White 64% 390
Asian or Asian American (including South Asian) 13% 77
Multi-Racial 10% 63
Hispanic or Latinx 5% 33
Black 5% 30
Prefer not to answer 1% 6
Middle Eastern 1% 5
Other 0% 3
Native American 0% 1

Immigration Status

How long have you or your family lived in the United States?

Proportion N
I’m the first generation in the United States 11% 67
One or more of my parents immigrated to the United States 20% 120
One or more of my grandparents immigrated to the United States 16% 95
My family has been in the United States for 3 generations or more 52% 314
None of the above 1% 9
Prefer not to answer 0% 3

Age

2020 - What is your year (YYYY) of birth?

Proportion N
20-24 10% 60
25-29 36% 221
30-34 28% 170
35-39 16% 96
40-44 6% 35
45-49 2% 12
50-54 2% 11
55-59 0% 2
60+ 0% 1

Sexuality

Do you consider yourself to be …?

Proportion N
Heterosexual/straight 62% 379
Bisexual 14% 86
Queer 10% 63
Gay or Lesbian 9% 53
Different identity, prefer to specify 1% 6
Prefer not to answer 3% 21

Disability

Do you identify as a disabled? You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Proportion N
Yes, I have or previously had a disability 15% 90
No, I don’t have a disability 80% 484
Other 2% 12
Prefer not to answer 4% 22

Military Status

Are you a member of the military or a veteran?

Proportion N
Yes, Reserve/National Guard 0% 2
Yes, Veteran 1% 5
No 98% 598
Prefer not to answer 0% 3

Education

What is the highest level of education that you have completed?

Proportion N
High School Diploma or GED 3% 17
Associate’s Degree 1% 4
Bachelor’s Degree 57% 344
Post-bachelor’s Work, no Higher Degree 7% 45
Master’s or Professional Degree (MA, MPP, JD, etc.) 28% 172
Doctoral Degree (PhD) 4% 23
Other 0% 2
Prefer not to answer 0% 1

Geography

Country

What country do you live in?

Proportion N
United States 99% 603
Australia 0% 1
Canada 0% 1
France 0% 1
Spain 0% 1
Turkey 0% 1

Area

What’s your zip code? [only asked to US respondents, responses coded to Census metropolitan areas]

Proportion N
Washington-Arlington-Alexandria, DC-VA-MD-WV 35% 214
New York-Newark-Jersey City, NY-NJ-PA 8% 51
Chicago-Naperville-Elgin, IL-IN-WI 6% 39
Boston-Cambridge-Newton, MA-NH 4% 26
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 3% 21
San Francisco-Oakland-Berkeley, CA 3% 20
Los Angeles-Long Beach-Anaheim, CA 2% 14
Seattle-Tacoma-Bellevue, WA 2% 13
Austin-Round Rock-Georgetown, TX 2% 11
Atlanta-Sandy Springs-Alpharetta, GA 2% 10
Denver-Aurora-Lakewood, CO 1% 9
Baltimore-Columbia-Towson, MD 1% 8
Minneapolis-St. Paul-Bloomington, MN-WI 1% 8
Raleigh-Cary, NC 1% 8
Sacramento-Roseville-Folsom, CA 1% 6
Detroit-Warren-Dearborn, MI 1% 5
Phoenix-Mesa-Chandler, AZ 1% 5
Other (less than 5 people in metro area) 20% 122
Missing 3% 18

Work Experience

Politics & Data

How many years of work experience do you have in progressive politics and in data, analytics, and technology (i.e., how many years have you been a progressive data, analytics, or technology practitioner)?

Politics, Not Data

How many years of work experience do you have in progressive politics but not in data, analytics, and technology (i.e., exclude any years worked in data, analytics, and technology)?

Data, Not Politics

How many years of work experience do you have in data, analytics, and technology but not in progressive politics (i.e., exclude any years worked in progressive politics)?

Total

Employment Status

Current Status

What is your current employment status (as of January 2021)?

Proportion N
Full-time at one or more jobs 82% 500
Unemployed 11% 64
Freelance / contracting / self-employed 8% 49
In school 1% 8
Part-time at one or more jobs 1% 5
Other 0% 0

During 2020 election cycle

What was your employment status during the 2020 election cycle?

Proportion N
Full-time at one or more jobs 96% 585
Freelance / contracting / self-employed 7% 41
In school 2% 13
Part-time at one or more jobs 1% 8
Other 0% 1
Unemployed 0% 0

Involvement in Data/Analytics/Tech

  • Is the primary focus (>40% of resources) of your organization data, analytics, or technology?
  • Is the primary focus (>40% of resources) of your team data, analytics, or technology?
  • Is the primary focus (>40% of time) of your role data, analytics or technology?

Job Characteristics

Organization Type

How would you describe the organization?

Proportion N
Analytics / Polling firm 18% 110
Issue or advocacy organization 17% 101
Vendor (i.e. technology vendor) 13% 82
Political campaign 9% 57
Non-issue-specific Independent Expenditure group (i.e. Super PAC or c4 organization) 9% 56
Party committee 8% 49
Labor union 7% 44
Other consulting firm (media, field, digital, etc.) 7% 42
Government agency, contractor, or related employer 4% 25
Other 7% 42

Primary Job Function

What is your primary job function? If in management, please indicate the primary job function of your team.

Proportion N
General analytics or data science 22% 135
General data management and reporting 19% 114
Field / grassroots-focused data (e.g. VAN admin) 11% 68
Data infrastructure and processing 10% 59
Engineering / software development 9% 54
Polling and Research 7% 42
Consulting / client relations 7% 40
Product / Project management 6% 37
Digital data and analytics 3% 19
Development / fundraising-focused data 2% 11
Other 5% 29

Seniority

How would you describe your level of seniority within the organization?

Overall

Proportion N
Entry-Level 15% 90
Mid-Level 41% 249
Senior-Level, but not Department Head 21% 129
Department Head 16% 98
Organization Head, President or C-Level 5% 29
Other 0% 2
Freelance 2% 11

By Gender

All (n = 608) Cis man (n = 259) Non-Cis man (n = 341)
Entry-Level 15% 12% 17%
Mid-Level 41% 38% 43%
Senior-Level, but not Department Head 21% 24% 19%
Department Head 16% 19% 13%
Organization Head, President or C-Level 5% 5% 5%
Other 0% 0% 0%
Freelance 2% 1% 2%

By Race

All (n = 608) Asian or Asian American (including South Asian) (n = 77) Black (n = 30) Hispanic or Latinx (n = 33) Multi-Racial (n = 63) White (n = 390)
Entry-Level 15% 22% 23% 18% 14% 13%
Mid-Level 41% 53% 53% 52% 40% 37%
Senior-Level, but not Department Head 21% 8% 7% 12% 16% 26%
Department Head 16% 16% 13% 15% 13% 17%
Organization Head, President or C-Level 5% 1% NA NA 11% 5%
Other 0% NA NA NA 2% 0%
Freelance 2% NA 3% 3% 5% 2%

By Race (Binned)

All (n = 608) POC/Other (n = 212) White (n = 390)
Entry-Level 15% 19% 13%
Mid-Level 41% 48% 37%
Senior-Level, but not Department Head 21% 12% 26%
Department Head 16% 15% 17%
Organization Head, President or C-Level 5% 4% 5%
Other 0% 0% 0%
Freelance 2% 2% 2%

By Gender x Race (Binned)

TODO: Figure out why proportion bars for ‘POC/Other | Cis man (n = 85)’ and ‘White | Non-Cis man (n = 214)’ are off. Probably beccause NA values. Olivia note 4/11 – this seems to be fixed with my edit to the cat_cross.R function, not sure why yet

All (n = 608) POC/Other | Cis man (n = 85) POC/Other | Non-Cis man (n = 126) White | Cis man (n = 173) White | Non-Cis man (n = 214)
Entry-Level 15% 16% 21% 10% 14%
Mid-Level 41% 44% 51% 35% 39%
Senior-Level, but not Department Head 21% 13% 11% 30% 24%
Department Head 16% 20% 10% 18% 15%
Organization Head, President or C-Level 5% 6% 3% 5% 6%
Other 0% NA 1% 1% NA
Freelance 2% 1% 3% 1% 2%

Management

How many staffers do you manage? Please include everyone who reports “up the chain” to you, both directly or through layer(s) of management.

Overall

Proportion N
0 staffers 61% 370
1-4 staffers 26% 156
5-9 staffers 8% 46
10-14 staffers 2% 14
More than 15 staffers 4% 22

By Gender

All (n = 608) Cis man (n = 259) Non-Cis man (n = 341)
0 staffers 61% 62% 60%
1-4 staffers 26% 25% 26%
5-9 staffers 8% 8% 7%
10-14 staffers 2% 1% 3%
More than 15 staffers 4% 4% 3%

By Race

All (n = 608) Asian or Asian American (including South Asian) (n = 77) Black (n = 30) Hispanic or Latinx (n = 33) Multi-Racial (n = 63) White (n = 390)
0 staffers 61% 71% 73% 70% 54% 58%
1-4 staffers 26% 18% 23% 15% 33% 27%
5-9 staffers 8% 6% 3% 9% 6% 8%
10-14 staffers 2% NA NA 3% 3% 3%
More than 15 staffers 4% 4% NA 3% 3% 4%

By Race (Binned)

All (n = 608) POC/Other (n = 212) White (n = 390)
0 staffers 61% 66% 58%
1-4 staffers 26% 23% 27%
5-9 staffers 8% 6% 8%
10-14 staffers 2% 1% 3%
More than 15 staffers 4% 3% 4%

By Gender x Race (Binned)

All (n = 608) POC/Other | Cis man (n = 85) POC/Other | Non-Cis man (n = 126) White | Cis man (n = 173) White | Non-Cis man (n = 214)
0 staffers 61% 67% 66% 59% 57%
1-4 staffers 26% 20% 25% 28% 26%
5-9 staffers 8% 6% 6% 9% 8%
10-14 staffers 2% 1% 1% 1% 4%
More than 15 staffers 4% 6% 2% 3% 4%

Time Writing Code

What percentage of your time do you spend directly conducting analysis or writing code - as opposed to other work such as communicating with external partners or managing staff?

Overall

By Seniority

By Job Type

Skills + Tools

Tools

How comfortable are you with the following skills and tools?

  • Never used this before: Maybe you’ve heard of this tool, but you’ve never used it directly in or outside of work
  • Introductory: You have maybe read about it or completed a tutorial, but you haven’t used this in a major project
  • Novice: You’ve used this a few times or use it at work, but you’re still learning how it works
  • Intermediate: You feel comfortable using this tool on your own
  • Advanced: You are at home using this tool, are comfortable teaching or QCing others, or could lead a training on this topic

Skill Level

This graph displays the full distribution of responses to skill level. Responses are ordered by the proportion of respondents who rate themselves as having intermediate or advanced skills.

working on fixing graph

Skills

Which of the following items have you personally done in the last year? Please select all that apply.

Technical

Proportion N
Transform data and generate reports with SQL 74% 452
Create voter contact universes (field, mail, digital, paid media, etc.) 59% 359
Build data pipelines via API endpoints or other scripting 41% 249
Design, implement, and analyze an experiment (field, survey, digital, etc.) 38% 234
Run regressions and other analysis using a statistical package 34% 209
Manage the development of a software product 27% 166
Write, field, and analyze a poll for your organization or clients 25% 152
Build a predictive model (turnout, support, issue, action, etc). 24% 145
Set up a server, deploy code to a production environment, or other DevOps work 21% 126
Write code for a large-scale software project, such as a web application 20% 123
None of the above 5% 31

Management

Proportion N
Manage and review others’ analysis or work 70% 428
Present the results of a poll, experiment, model, or another analysis for non-technical leadership 59% 360
Pitch a project to a funder or member of senior leadership 39% 238
Hire or fire staff 36% 218
Coordinate a group of organizations to coordinate or collaborate on program 34% 207
Create a professional development plan for others 23% 142
None of the above 13% 79

Learn

How did you learn the skills and tools you use weekly for your job? Please pick your top two options

Proportion N
Self-taught in a job 78% 475
Taught by others in a job 44% 265
Learned in a formal education setting 30% 181
Learned in a training or bootcamp 21% 129
Self-taught outside of a job 20% 123
Taught by others outside of a job 2% 12

Free Text

Please describe any other major components of your work.

df$work_compenents_freetext[!is.na(df$work_compenents_freetext)] %>% dplyr::tibble()

Salary Overview

In US Dollars, what is your total expected annual pre-tax income, including bonuses or commissions? This figure may be salaried or unsalaried.

Category N Mean Median
All 608 $94,571 $88,000

Salary Distribution

Proportion N
Under $45,000 3% 16
$45,000 to $49,999 1% 9
$50,000 to $54,999 4% 25
$55,000 to $59,999 3% 21
$60,000 to $64,999 6% 35
$65,000 to $69,999 6% 34
$70,000 to $74,999 7% 44
$75,000 to $79,999 6% 36
$80,000 to $84,999 6% 37
$85,000 to $89,999 9% 56
$90,000 to $94,999 6% 37
$95,000 to $99,999 5% 31
$100,000 to $104,999 6% 34
$105,000 to $109,999 4% 26
$110,000 to $114,999 4% 22
$115,000 to $119,999 3% 17
$120,000 to $124,999 3% 21
$125,000 to $129,999 2% 15
$130,000 to $134,999 2% 13
$135,000 to $139,999 1% 5
$140,000 to $144,999 2% 10
$145,000 to $149,999 2% 11
$150,000 to $154,999 2% 11
$155,000 to $159,999 1% 6
$160,000 to $164,999 1% 8
$165,000 to $169,999 1% 4
$170,000 to $174,999 1% 4
$175,000 to $179,999 1% 4
$180,000 to $184,999 0% 1
$185,000 to $189,999 0% 1
$190,000 to $194,999 0% 1
$200,000+ 2% 13

Benefits

Which of the following benefits are you personally eligible for? Select all that apply.

Proportion N
Health insurance 92% 557
Paid vacation days 90% 550
Paid sick days 87% 528
Retirement plan (401(k), 403(b), IRA, etc.) 75% 456
Paid parental leave 60% 362
Ability to work remotely (pre pandemic) 50% 304
Cell phone and/or internet reimbursement 49% 296
Continuing education / professional development 45% 274
Other 14% 83
Pension 10% 58
Stock / Equity in organization 6% 36
Day care 3% 21
None of the above 3% 17

Negotiation

Try Negotiate

During your last job offer or performance review, did you try to negotiate your salary?

Overall

Proportion N
Yes 36% 219
No 51% 310
Not applicable (union, freelancer, etc.) 13% 79

By Gender

All (n = 608) Cis man (n = 259) Non-Cis man (n = 341)
Yes 36% 36% 36%
No 51% 51% 51%
Not applicable (union, freelancer, etc.) 13% 14% 13%

By Race (Binned)

All (n = 608) POC/Other (n = 212) White (n = 390)
Yes 36% 40% 34%
No 51% 47% 53%
Not applicable (union, freelancer, etc.) 13% 13% 13%

By Gender x Race (Binned)

All (n = 608) POC/Other | Cis man (n = 85) POC/Other | Non-Cis man (n = 126) White | Cis man (n = 173) White | Non-Cis man (n = 214)
Yes 36% 44% 38% 32% 36%
No 51% 44% 49% 54% 52%
Not applicable (union, freelancer, etc.) 13% 13% 13% 14% 13%

Negotiation Successful

Was your negotiation successful? Please select all that apply. [only asked to respondents who attempted a negotiation]

Overall

Proportion N
Yes, I increased my benefits 6% 14
Yes, I increased my compensation 74% 161
Yes, I improved my title 18% 39
No, I did not gain improved compensation, benefits or title 24% 52

By Gender

All (n = 219) Cis man (n = 92) Non-Cis man (n = 124)
No, I did not gain improved compensation, benefits or title 24% 20% 27%
Yes, I improved my title 18% 24% 13%
Yes, I increased my benefits 6% 7% 6%
Yes, I increased my compensation 74% 77% 70%

By Race

All (n = 219) POC/Other (n = 85) White (n = 133)
No, I did not gain improved compensation, benefits or title 24% 27% 22%
Yes, I improved my title 18% 18% 17%
Yes, I increased my benefits 6% 6% 6%
Yes, I increased my compensation 74% 72% 74%

By Gender x Race

All (n = 219) POC/Other | Cis man (n = 37) POC/Other | Non-Cis man (n = 48) White | Cis man (n = 55) White | Non-Cis man (n = 76)
No, I did not gain improved compensation, benefits or title 24% 22% 31% 18% 25%
Yes, I improved my title 18% 22% 15% 25% 12%
Yes, I increased my benefits 6% 3% 8% 9% 4%
Yes, I increased my compensation 74% 76% 69% 78% 71%

Professional Development

Opportunity

Does your employer offer any career development opportunities?

Proportion N
Yes 50% 302
Yes, but I am not eligible 3% 16
No 23% 140
Not sure 25% 150

Available

What types of employer-funded professional development opportunities are available to you? Please select all that apply. [only asked to respondents who are offered career development opportunities]

Proportion N
Attending a conference or similar event 81% 244
Attending off-site trainings 67% 202
Buying books or other training materials 62% 187
Presenting on a work project at a conference or similar event 56% 170
One-on-one or small group training on work time 49% 148
Receiving a professional certification 44% 132
Other professional development resources not mentioned above 30% 92
Tuition reimbursement 27% 81

Used

Which of these professional development opportunities have you used? Please select all that apply. [only asked to respondents who are offered career development opportunities]

Proportion N
Attending a conference or similar event 56% 166
Attending off-site trainings 34% 100
Buying books or other training materials 33% 99
Presenting on a work project at a conference or similar event 27% 79
One-on-one or small group training on work time 27% 79
Haven’t used any 16% 49
Other professional development resources not mentioned above 14% 41
Receiving a professional certification 11% 32
Tuition reimbursement 6% 18

Free Text

TO DO condense options in free text

Thinking about your career path and focus, which one specific skill or tool do you most want to learn?

# order by count
as.data.frame(table(df$skill_to_learn)) %>% dplyr::arrange(desc(Freq)) %>% top_n(20)
## Selecting by Freq
df$skill_to_learn[!is.na(df$skill_to_learn)] %>% dplyr::tibble()

Salary Crosstabs

In all of the following crosstabs, salary information is excluded for groups with fewer than 5 people.

Respondent Characteristics

Gender

Category N Mean Median
Non-Cis man 341 $92,891 $87,000
Cis man 259 $96,093 $90,000
Prefer not to answer 8 $116,920 $112,500

Gender (Binned)

Category N Mean Median
Cisgender 259 $96,093 $90,000
Trans or NonBinary 44 $79,712 $72,250
Prefer not to answer 8 $116,920 $112,500

Race / Ethnicity

Category N Mean Median
White 390 $96,928 $90,000
Asian or Asian American (including South Asian) 77 $92,795 $88,000
Multi-Racial 63 $95,129 $90,708
Hispanic or Latinx 33 $79,920 $78,000
Black 30 $78,179 $73,500
Prefer not to answer 6 $115,000 $105,000

Race / Ethnicity (Binned)

Category N Mean Median
White 390 $96,928 $90,000
POC/Other 212 $89,658 $85,000
Prefer not to answer 6 $115,000 $105,000

Gender x Race / Ethnicity

Category N Mean Median
White | Non-Cis man 214 $94,891 $88,000
White | Cis man 173 $99,623 $92,000
POC/Other | Non-Cis man 126 $89,477 $83,750
POC/Other | Cis man 85 $88,922 $87,600

Age

Category N Mean Median
20-24 60 $64,876 $65,000
25-29 221 $84,931 $84,000
30-34 170 $101,764 $100,000
35-39 96 $107,428 $98,000
40-44 35 $129,300 $122,000
45-49 12 $111,591 $91,047
50-54 11 $95,691 $92,000

Sexuality

Category N Mean Median
Heterosexual/straight 379 $95,603 $90,000
Bisexual 86 $93,958 $85,000
Queer 63 $85,195 $75,000
Gay or Lesbian 53 $102,696 $97,000
Prefer not to answer 21 $90,762 $87,000
Different identity, prefer to specify 6 $78,225 $92,175

Sexuality (Binned)

Category N Mean Median
Heterosexual 379 $95,603 $90,000
Queer 208 $93,077 $85,000
Prefer not to answer 21 $90,762 $87,000

Disability

Category N Mean Median
Yes, I have or previously had a disability 90 $87,787 $76,938
No, I don’t have a disability 484 $95,945 $89,500
Other 12 $81,113 $80,000
Prefer not to answer 22 $99,450 $95,000

Education

Category N Mean Median
High School Diploma or GED 17 $95,102 $90,000
Bachelor’s Degree 344 $90,533 $85,000
Post-bachelor’s Work, no Higher Degree 45 $96,406 $89,000
Master’s or Professional Degree (MA, MPP, JD, etc.) 172 $98,604 $91,500
Doctoral Degree (PhD) 23 $117,217 $105,000

Work Experience

Job Characteristics

Organization

Category N Mean Median
Analytics / Polling firm 110 $96,428 $89,500
Issue or advocacy organization 101 $82,552 $80,000
Vendor (i.e. technology vendor) 82 $106,450 $98,500
Political campaign 57 $82,671 $85,000
Non-issue-specific Independent Expenditure group (i.e. Super PAC or c4 organization) 56 $87,804 $82,000
Party committee 49 $86,819 $80,000
Labor union 44 $99,886 $100,725
Other 42 $102,587 $90,354
Other consulting firm (media, field, digital, etc.) 42 $109,044 $100,000
Government agency, contractor, or related employer 25 $106,350 $100,000

Seniority

Category N Mean Median
Entry-Level 90 $69,269 $68,250
Mid-Level 249 $83,822 $82,000
Senior-Level, but not Department Head 129 $106,929 $105,000
Department Head 98 $115,594 $113,250
Organization Head, President or C-Level 29 $136,810 $140,000
Freelance 11 $95,348 $90,708

Seniority Binned ( entry / mid / senior)

MOVE TO APPENDIX

Category N Mean Median
Entry-Level 90 $69,269 $68,250
Mid-Level 249 $83,822 $82,000
Senior-Level 256 $113,631 $110,000
Freelance 11 $95,348 $90,708

Management

Category N Mean Median
0 staffers 370 $84,926 $80,000
1-4 staffers 156 $103,065 $98,000
5-9 staffers 46 $111,946 $102,648
10-14 staffers 14 $136,384 $134,185
More than 15 staffers 22 $133,625 $134,125

Management Binned (0 staff, 1- 4, and >=5)

MOVE TO APPENDIX

Category N Mean Median
0 staffers 370 $84,926 $80,000
1-4 staffers 156 $103,065 $98,000
5+ staffers 82 $121,934 $120,000

Primary Job Function

Category N Mean Median
General analytics or data science 135 $99,666 $93,000
General data management and reporting 114 $82,187 $75,956
Field / grassroots-focused data (e.g. VAN admin) 68 $71,067 $71,000
Data infrastructure and processing 59 $91,433 $86,500
Engineering / software development 54 $114,526 $112,000
Polling and Research 42 $94,798 $90,000
Consulting / client relations 40 $112,291 $101,350
Product / Project management 37 $105,097 $105,000
Other 29 $114,205 $108,000
Digital data and analytics 19 $90,554 $85,000
Development / fundraising-focused data 11 $79,030 $80,000

Career Plans

Next Steps

Which of the following most accurately describes the next step you would like to take to advance your career? Please select all that apply.

Proportion N
Learn new skills or tools related to data, analytics, and technology 58% 353
Move into management or a more senior management role 41% 247
Work on more interesting/important projects as an individual contributor (i.e., not a manager) 32% 197
Stay in a similar role but move to another organization 29% 179
I’m happy where I am 16% 95
Leave the progressive/Democratic space 14% 87
Stay in the progressive/Democratic space but move out of data, analytics, and technology 10% 61
Start my own organization 7% 44
Other 5% 30

Plans to Leave

MOVE CROSSTABS TO APPENDIX

Overall

Are you planning to leave your organization within the next year?

Proportion N
I plan to actively look for new opportunities 19% 118
I might leave, but I’m not sure 22% 133
I’m not planning to leave 38% 228
My current job / contract ends within the next 12 months 9% 52
I am currently unemployed 13% 77

By Gender

All (n = 608) Cis man (n = 259) Non-Cis man (n = 341)
I plan to actively look for new opportunities 19% 18% 20%
I might leave, but I’m not sure 22% 23% 20%
I’m not planning to leave 38% 35% 40%
My current job / contract ends within the next 12 months 9% 8% 9%
I am currently unemployed 13% 15% 11%

By Race

All (n = 608) Asian or Asian American (including South Asian) (n = 77) Black (n = 30) Hispanic or Latinx (n = 33) Multi-Racial (n = 63) White (n = 390)
I plan to actively look for new opportunities 19% 23% 20% 15% 16% 19%
I might leave, but I’m not sure 22% 18% 27% 30% 16% 23%
I’m not planning to leave 38% 32% 37% 24% 43% 39%
My current job / contract ends within the next 12 months 9% 9% 7% 18% 10% 8%
I am currently unemployed 13% 17% 10% 12% 16% 12%

By Race Bin

All (n = 608) POC/Other (n = 212) White (n = 390)
I plan to actively look for new opportunities 19% 20% 19%
I might leave, but I’m not sure 22% 20% 23%
I’m not planning to leave 38% 34% 39%
My current job / contract ends within the next 12 months 9% 10% 8%
I am currently unemployed 13% 15% 12%

By Gender x Race

All (n = 608) POC/Other | Cis man (n = 85) POC/Other | Non-Cis man (n = 126) White | Cis man (n = 173) White | Non-Cis man (n = 214)
I plan to actively look for new opportunities 19% 13% 25% 21% 17%
I might leave, but I’m not sure 22% 26% 16% 21% 22%
I’m not planning to leave 38% 27% 39% 39% 41%
My current job / contract ends within the next 12 months 9% 12% 10% 7% 8%
I am currently unemployed 13% 22% 10% 12% 11%

Why leaving

If you were to leave the progressive/Democratic data space in the next year, what would lead to that decision? Please select your top two reasons.

Proportion N
Better paying job 39% 239
Better work/life balance 27% 162
Stagnated or feel like there isn’t a clear next step in your career 26% 158
Better opportunities to learn and grow in other fields 24% 146
Burned out 22% 135
More job and/or pay stability 15% 89
Going back to school/other further education options 12% 74
Hostile workplace environment(s) 7% 43
Prefer not to answer 6% 36
Better benefits 5% 30

Expect to be in one year

Where do you want or expect to be working a year from now? Select all that apply. [only asked to respondents who are either looking for new opportunities, might leave, on a job / contract that ends within the next 12 months, or currently unemployed]

Proportion N
Issue or advocacy organization 51% 194
Analytics / Polling firm 37% 139
Government 32% 120
Vendor (i.e. technology vendor) 29% 110
Political campaign 28% 108
Other consulting firm (media, field, digital, etc) 26% 100
Non-issue-specific Independent Expenditure group (i.e. PAC or c4 organization) 26% 100
Labor union 24% 90
Other 23% 89
Party committee 17% 64
In school 11% 43

Covid

Additional Benefits

Regardless of whether you were eligible, did your employer offer any additional benefits due to the COVID-19 pandemic?

Proportion N
Yes 59% 359
No 26% 159
Unsure 15% 90

Benefits Offered

What sort of benefits were offered/provided? Please select all that apply. [only asked to respondents whose organizations offered any additional benefits due to the COVID-19 pandemic]

Proportion N
Ability to work remotely 87% 314
Flexible work hours/schedules 63% 226
Additional paid leave and/or all staff office closures (mental health days) 55% 196
Additional mindfulness and/or mental health benefits 45% 161
Monthly stipends (or increased value of existing stipends) for cell phone, internet services, or home office needs 39% 141
Other 13% 45
New or additional child care benefits 12% 42

Free Text

Please briefly describe how your organization handled the COVID-19 pandemic to make things easier for staff.

df$covid_freetext[!is.na(df$covid_freetext)] %>% dplyr::tibble()

TODO

Union

Is Unionized?

Is your organization unionized or does it have one or more recognized bargaining units?

Proportion N
Yes 26% 159
No 69% 418
Unsure 5% 31

Union Member?

Are you a member of the union/bargaining unit? [only asked to respondents whose organization is unionized or has one or more recognized bargaining units]

Proportion N
Yes 46% 73
No, do not qualify for membership 53% 84
Unsure 1% 2

Date of Unionization

When did your organization unionize? [only asked to respondents whose organization is unionized or has one or more recognized bargaining units]

Proportion N
Within the past two years 47% 74
In the past two to five years 6% 10
More than five years ago 34% 54
I’m not sure 13% 21

Notes

Eligibility

Respondents were only eligible to take this survey if (1) they worked in progressive politics AND (2) if their organization, role, or team focused on data, analytics, or technology.

Respondents satisfied the first criteria if they answered “Yes” or “Did but employment ended post-election” to the following question:

  • Do you currently work at an organization that either works in progressive politics or has some clients who work in progressive politics or do you currently work for a government body? Or, if you freelance, do you have some clients that work in progressive politics?

The second criteria was satisfied if the respondents answered “Yes” to one or more of the following questions:

  • Is the primary focus (>40% of resources) of your organization data, analytics, or technology?
  • Is the primary focus (>40% of resources) of your team data, analytics, or technology?
  • Is the primary focus (>40% of time) of your role data, analytics or technology?

Author and Thanks